Evidence map›Paper›PMID 25788902›Full record

ArticleFrontiers in genetics2015

Microsatellite genotyping of medieval cattle from central Italy suggests an old origin of Chianina and Romagnola cattle.

Maria Gargani, Lorraine Pariset, Johannes A Lenstra, Elisabetta De Minicis, European Cattle Genetic Diversity Consortium, Alessio Valentini

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Multi-Breed Genomic Predictions for Average Daily Gain in Three Italian Beef Cattle Breeds.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Maria GarganiDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia Viterbo, Italy.
Lorraine ParisetDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia Viterbo, Italy.
Johannes A LenstraFaculty of Veterinary Medicine, Utrecht University Utrecht, Netherlands.
Elisabetta De MinicisDepartment of Sciences of Cultural Heritage (DISBEC), University of Tuscia Viterbo, Italy.
European Cattle Genetic Diversity Consortium
Alessio ValentiniDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia Viterbo, Italy.
Università degli Studi della Tuscia · ITUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of DNA from archeological remains is a valuable tool to interpret the history of ancient animal populations. So far most studies of ancient DNA target mitochondrial DNA (mtDNA), which reveals maternal lineages, but only partially the relationships of current breeds and ancient populations. In this study we explore the feasibility of nuclear DNA analysis. DNA was extracted from 1000-years old cattle bone collected from Ferento, an archeological site in central Italy. Amplification of 15 microsatellite FAO-recommended markers with PCR products yielded genotypes for four markers. Expected heterozygosity was comparable with values of modern breeds, but observed heterozygosity was underestimated due to allelic loss. Genetic distances suggested a position intermediate between (1) Anatolian, Balkan, Sicilian and South-Italian cattle and (2) the Iberian, North-European and Central-European cattle, but also a clear relationship with two central-Italian breeds, Chianina and Romagnola. This suggests that these breeds are derived from medieval cattle living in the same area. Our results illustrate the potential of ancient DNA for reconstructing the history of local cattle husbandry.

Indexed as

ancient DNAcattleFerentomicrosatelliteNeighborNet

Identifiers

PMID25788902
PMCPMC4349168
OpenAlexW2135652587

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.